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Posted to issues@systemml.apache.org by "Janardhan (JIRA)" <ji...@apache.org> on 2018/02/17 10:41:00 UTC

[jira] [Updated] (SYSTEMML-1994) Implementation of Gaussian Process Regression

     [ https://issues.apache.org/jira/browse/SYSTEMML-1994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Janardhan updated SYSTEMML-1994:
--------------------------------
    Description: 
Regression with Gaussian process.

This script essentially takes in the input  ( X, *y* ) (input is in matrix format), then 
 # It calculates a covariance matrix,  *K*
 # and a predictive mean and variance of a test point *x_star* (it is a single point).
 # a log marginal likelihood

  was:
Regression with Gaussian process.

This script essentially takes in the input  \( X, *y* \) (input is in matrix format), then 
 # It calculates a covariance matrix,  *K*
 # and a predictive mean and variance of a test point *x_star* (it is a single point).


> Implementation of Gaussian Process Regression
> ---------------------------------------------
>
>                 Key: SYSTEMML-1994
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1994
>             Project: SystemML
>          Issue Type: Sub-task
>          Components: Algorithms
>            Reporter: Janardhan
>            Assignee: Janardhan
>            Priority: Major
>             Fix For: SystemML 1.1
>
>
> Regression with Gaussian process.
> This script essentially takes in the input  ( X, *y* ) (input is in matrix format), then 
>  # It calculates a covariance matrix,  *K*
>  # and a predictive mean and variance of a test point *x_star* (it is a single point).
>  # a log marginal likelihood



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